Proceedings of IAHS
Proceedings of IAHS
PIAHS
Articles | Volume 376
Articles | Volume 376
https://doi.org/10.5194/piahs-376-51-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-376-51-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 376
01 Feb 2018
 | 01 Feb 2018

Forecasting domestic water demand in the Haihe river basin under changing environment

Xiao-Jun Wang, Jian-Yun Zhang, Shamsuddin Shahid, Yu-Xuan Xie, and Xu Zhang

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Latest update: 21 Nov 2024
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Short summary
A statistical model has been developed for forecasting domestic water demand in Haihe river basin of China due to population growth, technological advances and climate change. Historical records of domestic water use, climate, population and urbanization are used for the development of model. An ensemble of seven general circulation models (GCMs) namely, BCC-CSM1-1, BNU-ESM, CNRM-CM5, GISS-E2-R, MIROC-ESM, PI-ESM-LR, MRI-CGCM3 were used for the projection of climate and the changes in water demand.
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